Method for Finding Shortest Pathway between Neurons in A Neural Network

Abstract

The present invention discloses a method for finding shortest pathways between neurons in a neural network, including: establishing a three dimensional or higher dimensional neural space database (which may be neuron image database) by a processing device in a storage space, wherein the three dimensional or higher dimensional neural space database includes a plurality of neurons distributed therein. Then, it is determined whether there is a connection between each of the plurality of neurons in the three dimensional or higher dimensional neural space database and the others of the plurality of neurons in the three dimensional or higher dimensional neural space database by the processing device, and subsequently a shortest pathway table of all of a plurality of connected neurons is calculated via an All-pairs Shortest Paths algorithm and is stored in the storage space.

Description

FIELD OF THE INVENTION[0001]The present invention relates to a method for establishing the connecting pathways between neurons within a neural network, and more particularly to a method for finding shortest pathways between neurons through 3D neuron image data.BACKGROUND OF THE INVENTION[0002]Researches on brain function may be divided into several levels, from microscopic to macroscopic, such as gene expression, protein biochemistry, cellular morphology, brain neural network organizations and animal behavior. Molecular biology, flourished since the 1960s, allows gene manipulation to result in consequences at different scales. In other words, according to basic research in life science, researchers can now make use of technologies to identify genes involved in Drosophila memory and alter them to influence behaviors. Although scientists have a clear understanding of macro-scale biology such as animal behavior and micro-scale biology such as gene expression and perspectives of biology...

AI Technical Summary

Benefits of technology

The patent describes a way for neurology researchers to quickly and easily search for the shortest paths between every two neurons in a database. This helps them better understand neural functions and diseases, as well as make more informed decisions based on the structure of the brain.

Problems solved by technology

Although scientists have a clear understanding of macro-scale biology such as animal behavior and micro-scale biology such as gene expression and perspectives of biology, meso-scale biological research remains under-studied owing to technical limitations including the difficulty to acquire the 3D structure of nerve cells and neural network's formation.

Biologists often can not obtain images (information) of an organism's internal structure without damaging the organism itself.

Furthermore, when acquiring biological images, physical limitations of laboratory equipment could only generate a serial of two-dimensional (2D) images instead of three dimensional images; as a result, the spatial information between organs is not immediately made available.

Although the information processing and transmission mechanism of the human brain fascinates scientists and are main research topics, owing to the fact that the human brain has 100 billion neurons, plus human's relatively long life span and the legal and moral restriction, human genes cannot be manipulated at will.

However, for the shortest pathway between two neurons, there is no method in the past to present the shortest pathway between neurons; especially each neuron possesses irregular shape and complicated terminal branches.

Therefore, there is a demand for a new method which can solve the problems and visualize results, otherwise further study on the transmission pathways in the neural network is impossible.

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